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The use of social media in various aspects including health has increased in recent years. The effectiveness and efficiency of the use of social media in health promotion efforts by hospitals are advantages compared to using conventional media. This study aims to obtain information about the use of social media by hospitals in efforts to organize hospital health promotion from the perspective of: 1) types of social media used, 2) program effectiveness, 3) level of involvement, and 4) efforts to increase the level of involvement. From a search of 62 articles (time span 2017-2022) using the Google Scholar and Garuda databases and the keywords media, social, hospital, promotion, and health, researchers found 3 articles that were appropriate based on the title, abstract, content and purpose of the study. This literature study revealed that social media has high effectiveness and efficiency in organizing health promotion programs by hospitals. Another finding is that Instagram is the most widely used social media platform with the highest level of involvement compared to other social media platforms. Interesting and unique efforts and strategies can further increase the level of public involvement in hospital social media accounts so that there is an increase in awareness of healthy living in Indonesian society.    

This research was conducted because researchers saw that PAI teachere still appilied conventional learning models during the Islamic religious education learning process. Researchers saw that many students did not play an active role during the question and answer session, and lacked the courage to express their opinions. during the learning process. The purpose of conducting this research is to find out whether there is an influence of implementing the Everyone Is Teacher Herr Active Learning Model on students' active learning in Islamic religious education at SMP N 1 Panti, Pasaman Regency. The type of research used by researchers is quasi-experimental research. The population of this research is all class VIII students, totaling 129 students. The technique used in sampling by researchers was odd semester UTS scores and then a normality test and homogeneity test were carried out and the samples were determined randomly. Data collection was carried out by researchers using a questionnaire, the analysis technique was carried out using the f-test and t-test. The results of the analysis using the f test in the experimental class had a value of 4.701 with a significance level of 0.040-0.005 so it could be concluded that there was an influence, while the results of the analysis using the t in the control class there is a t-hit value of 4.357> t-table 2.064 and a significance level of 0.000 0.05 and it can be concluded that there is differences in student activity.

This study aims to investigate the effect of using the Flipped Classroom model assisted by interactive videos on the understanding of social science concepts among fifth-grade students at SD Wujud Kasih Ungaran. The research method employed is quantitative, with the subjects being fifth-grade students. Through an experimental design, this research compares two groups: an experimental group utilizing the Flipped Classroom model and a control group employing conventional methods. The results indicate that the implementation of the Flipped Classroom model assisted by interactive videos has a positive impact on students' understanding of social science concepts. Data analysis using the Independent Sample T-Test reveals a significance value of 0.023, indicating a significant difference between the experimental and control groups at a significance level of 0.05. The average understanding score of the experimental group reached 61.61 percent, higher than that of the control group. Furthermore, the results of the Simple Linear Regression Test show an R square value of 0.547, indicating that 54.7% of the variation in students' understanding can be explained by the use of this learning model.  In conclusion, the Flipped Classroom model assisted by interactive videos significantly influences students' understanding of social science concepts, as evidenced by increased enthusiasm and motivation during the learning process. This study recommends the adoption of this model as an alternative in social science education to enhance students' understanding quality.

Language in a state address functions not only as a medium for delivering information but also as a political communication tool rich in meaning and pragmatic strategies. This study describes the forms and functions of implicature found in President Joko Widodo’s State Address at the 2024 Annual Session of the People’s Consultative Assembly (MPR RI). The study focuses on two aspects: (1) the types of implicature, consisting of conventional and nonconventional implicatures, and (2) the functions of implicature, including assertive, directive, expressive, and commissive functions. The research employs a descriptive qualitative method with a pragmatic approach and content analysis. The data, in the form of utterances containing implied meanings, were collected using the listening and note-taking techniques and analyzed based on Grice’s implicature theory and relevant pragmatic frameworks. The results show that President Joko Widodo’s state address contains two types of implicature: conventional implicature, which carries explicit and commonly understood meanings, and nonconventional implicature, which requires contextual interpretation because of its implicit nature. Furthermore, four functions of implicature were identified: (1) assertive, used to express facts and the speaker’s beliefs; (2) directive, containing appeals and encouragement to continue national development; (3) expressive, conveying gratitude and appreciation to national institutions; and (4) commissive, emphasizing the President’s commitment to maintaining international trust and national sovereignty. Overall, the findings reveal that the use of implicature in the state address serves as an effective and polite political communication strategy. 

Objective: analyze the modulation scheme that can intelligently select the appropriate modulation model for service conditions to obtain a high Signal to Noise Ratio, as well as throughput efficiency on wireless networks through the DNN approach. Method: this study uses simulations with the Python language, through AI-Driven on BPSK, QPSK, 16-QAM, and 64-QAM modulation, to determine the SNR and Quality of Service (QoS) produced, both through conventional approaches and Deep Neuro Network (DNN). Researh Finding: AI-Driven modulation used for Cognitive Cellular Networks (CCN), through Deep Neuro Network designed to intelligently classify and select the appropriate modulation model to be applied, shows significant improvement in throughput efficiency, QoS and has the ability to adapt to the environment in dynamic networks. Conclussion: AI-Driven using Deep Neuro Network is able to dynamically adapt to determine the selected modulation model, according to the user's environmental conditions, increase spectrum efficiency and throughput, and increase SNR which can automatically increase the efficiency of network usage.

Islamic banking financing has become a crucial component of Indonesia's financial sector, providing a Sharia-compliant alternative to conventional financing. Despite its rapid growth, assessing the feasibility of Islamic banking financing remains a major challenge, particularly in terms of risk management, financial sustainability, and regulatory compliance. Previous studies have assessed financing feasibility using various methods, including the 5C approach (Character, Capacity, Capital, Collateral, and Conditions). However, research in this area remains fragmented, with a lack of systematic analysis of key trends, methodologies, and influencing factors. This study uses a Systematic Literature Review (SLR) to synthesize and analyze existing research on the feasibility of Islamic banking financing in Indonesia. The review covers studies published between 2020 and 2022, focusing on research distribution, analytical techniques, and key determinants affecting financing feasibility. The findings reveal that most studies emphasize credit risk assessment, financial literacy, and regulatory frameworks, but lack a unified approach to measuring feasibility. Furthermore, this study highlights gaps in the application of digital technologies, such as big data and machine learning, that can be used to strengthen the financing eligibility assessment system. The application of these technologies not only improves the accuracy of risk predictions but also enables Islamic banking institutions to reach more customers, particularly MSMEs and the informal sector, which have historically been underserved. The results of this study provide valuable insights for Islamic financial institutions, regulators, and researchers, highlighting the need for integrated risk assessment models, a better regulatory framework, and enhanced financial literacy initiatives to strengthen Islamic banking financing in Indonesia. This research contributes to the development of a more structured and comprehensive framework for evaluating financing eligibility, ensuring sustainable growth and financial inclusion in the Islamic banking sector.

This study aims to analyze the implementation of e-commerce tax in Indonesia from the perspectives of law and enforcement effectiveness. Using a normative juridical approach, this research examines the legal norms outlined in legislation, including Law No. 11 of 2008 on Electronic Information and Transactions (as amended), Law No. 7 of 2014 on Trade, and Minister of Finance Regulation No. 210/PMK.010/2018. The findings indicate that e-commerce requires specific regulations due to its unique characteristics compared to conventional trade. These regulations aim to protect consumers and ensure tax compliance. However, challenges in implementing these regulations persist, particularly in supervision and law enforcement. Furthermore, the taxation aspect of e-commerce faces difficulties in reaching international businesses and avoiding tax evasion. Therefore, ongoing efforts from the government are necessary to strengthen regulations and law enforcement in addressing the dynamics of e-commerce development in Indonesia, to achieve legal certainty and optimal tax contributions from this sector.

Conventional power plants that exist today can cause environmental damage, such as air pollution and the erosion of fossil reserves. Therefore, humans continue to innovate to develop environmentally friendly power plants. One of them is the combined wind turbine and solar cell technology to create a more effective solution called a Hybrid power plant. This research proposes a VAWT Helix Turbine Design for Microhybrid Power Plant. The design is according to the wind speed and solar radiation for the Madiun city area. BMKG data shows that the average wind speed is 3 m/s to 7 m/s. Meanwhile, the sun's heat is on average 25°C to 36°C. The wind turbine uses 3 blades of helix type and the solar cell used is Monocrystalline. The design was designed using the AutoCAD program and simulated using Qblade software. The blades are made using 3D Printing Polylactic Acid (PLA) and then printed using a 3D Printer. Simulation results using Qblade show the average value when the wind speed is 3 m/s produces an average power within 11.4 Watt. When the wind speed is 4 m/s, the average power is 33.7 Watt. When the wind speed of 5 m/s produces an average power of 80.2 watts.

Eco-pharmaceuticals are an emerging solution in the pharmaceutical industry, aimed at reducing environmental impacts through sustainable production, distribution, and disposal practices. The growing concern over pharmaceutical waste, especially in low-resource settings, highlights the need for greener alternatives. Pharmaceutical residues, often not fully removed during conventional wastewater treatments, contribute significantly to water pollution and disrupt aquatic ecosystems. Eco-pharmaceuticals address these issues by using biodegradable materials, environmentally friendly production methods, and safer disposal techniques, thereby reducing the persistence of pharmaceutical contaminants in the environment. Life-Cycle Assessment (LCA) is an essential methodology used to evaluate the environmental impact of pharmaceutical products, considering all stages from raw material extraction to end-of-life disposal. The results of LCA show that eco-pharmaceuticals significantly reduce water pollution potential and carbon emissions when compared to conventional drugs. Additionally, they offer a more resource-efficient alternative by minimizing waste generation during production and ensuring safer end-of-life disposal. Despite the clear environmental benefits, challenges remain in transitioning to eco-pharmaceuticals, particularly in low-resource settings where infrastructure for waste management is limited. Cost and availability of eco-pharmaceuticals may also pose barriers to widespread adoption. However, with appropriate policy interventions, public education, and technological innovations, these challenges can be addressed. This study underscores the potential of eco-pharmaceuticals in mitigating environmental degradation while offering a sustainable and cost-effective alternative to traditional pharmaceuticals, particularly in regions most vulnerable to pollution.

Rapid urbanization in major cities has led to the decreasing availability of green spaces, exacerbating urban challenges such as the Urban Heat Island (UHI) effect, high energy consumption in buildings, and air pollution. In response, green architecture innovations like green roofs and vertical farming present opportunities for reducing carbon footprints and improving urban sustainability. This study explores the potential for life-cycle carbon footprint reduction through the integration of green roofs and vertical farming systems in high-rise buildings, focusing on energy savings, environmental impact, and air quality improvements. Using Life-Cycle Assessment (LCA) methodology, the research evaluates carbon emissions reduction, operational energy savings, and ecosystem benefits from different building scenarios. Simulation models were developed for conventional high-rise buildings and those incorporating green roofs and vertical farming. EnergyPlus, SketchUp, and SimaPro software were used for energy consumption calculations and carbon emissions modeling. The study analyzes various intervention scenarios-baseline (no vegetation), green roof only, vertical farming only, and a combined system-based on tropical climate data from cities like Jakarta, Surabaya, and Kuala Lumpur. Results reveal that the integration of both green technologies significantly reduces cooling demand, lowers CO₂ emissions, and improves urban microclimates by reducing surface temperatures and enhancing air quality. Policy recommendations and guidelines for adopting green construction practices in tropical regions are provided, alongside suggestions for future research on optimizing these technologies, conducting economic modeling, and evaluating multi-building approaches at a district scale.

This study investigates the role of Islamic social finance in supporting green economy development across Muslim-majority countries. Islamic social finance instruments, including zakat, waqf, and sadaqah, are designed to redistribute wealth ethically and address social inequalities, while also offering potential for financing environmentally sustainable projects. Using a quantitative research design and econometric modeling with panel data, the study analyzes the impact of these instruments on environmental performance indicators such as the Green Economy Index (GEI) and Environmental Performance Index (EPI). Secondary data are collected from international sources including the OIC Statistical Database, the World Bank, and the Islamic Development Bank, covering selected countries such as Indonesia, Malaysia, Saudi Arabia, Turkey, Pakistan, and Egypt. The analysis includes independent variables representing zakat distribution, waqf assets, and sadaqah volume, with control variables including GDP per capita, governance indicators, and population growth. Descriptive statistics reveal substantial variation in Islamic social finance and environmental performance across countries, indicating the importance of institutional governance and policy integration. Econometric results demonstrate a positive correlation between zakat and waqf development and environmental performance, while sadaqah contributes positively but to a lesser extent. These findings suggest that Islamic social finance can directly support environmental projects, including renewable energy initiatives, sustainable agriculture, and green infrastructure, complementing conventional fiscal tools. The study highlights the advantages of Islamic social finance in promoting justice, sustainability, and ethical allocation of resources, and it emphasizes the need to integrate green objectives into zakat and waqf operational frameworks. Policy recommendations include mainstreaming Islamic social finance into national green policies, enhancing governance and transparency, and encouraging cross-sector collaboration between financial institutions and environmental agencies. Future research is suggested to explore micro-level impacts on household and community environmental behaviors and to conduct comparative studies across regions. Overall, the study underscores the potential of Islamic social finance as a faith-driven, socially inclusive, and environmentally sustainable mechanism for supporting long-term green economic development.

This study investigates the effectiveness of green-space–based interventions in reducing eco-anxiety among urban adolescents, a population increasingly vulnerable to climate-related psychological distress. Eco-anxiety, characterized by persistent worry, cognitive overload, and emotional tension in response to environmental change, has emerged as a significant mental-health challenge. The intervention examined in this research involved structured exposure to natural environments combined with guided reflective activities over multiple sessions. Quantitative results showed a substantial reduction in eco-anxiety symptoms, with participants experiencing approximately a 30% decrease in climate-related worry after the intervention. Improvements were also observed in emotional resilience, including enhanced self-regulation, greater cognitive clarity, and improved coping capacity. Qualitative findings reinforced these outcomes, revealing that participants reported deeper emotional calm, stronger feelings of agency, and an increased sense of connectedness with nature. They described green spaces as restorative environments that helped reduce overthinking, clear mental fatigue, and create psychological grounding. These experiences appear to activate mental-restoration processes consistent with environmental psychology, suggesting that nature engagement can serve as both a preventive and therapeutic mental-health strategy. A comparison with conventional counseling approaches indicated that while standard psychological support aids emotional regulation, it often fails to address the specific ecological concerns driving eco-anxiety. In contrast, green-space exposure offers a more targeted and holistic benefit, combining physiological relaxation with meaningful emotional reassurance. The study concludes that expanding access to green spaces, incorporating nature-based therapeutic elements into public-health programs, and promoting balanced climate literacy may enhance adolescent well-being in a time of intensifying environmental challenges.

Business processes in an institution are an important measure of customer satisfaction. Universities as institutions that have laboratory work units, must have service standards to ensure they are optimal. Services that are still conventional provide problems in terms of time and accuracy. One of the first steps in building a system is designing a business process that will be a reference in building the system. And there are service times that can be used as a reference in the services provided. Based on the research that has been carried out, it was found that the recommended business process model design can speed up service both in terms of time and steps.

The presence of Artificial Intelligence (AI) has a significant impact on the preparation of financial reports, especially in terms of efficiency and accuracy. This article aims to examine the influence of AI on the process of preparing financial reports that were previously carried out conventionally and the challenges faced by companies in adopting it. This study uses a literature study method to identify trends and findings related to the use of AI in accounting. The results show that AI is able to improve operational efficiency, data analysis, and security, although there are challenges in its implementation, such as human resource adaptation and data security.

The main objective of this study is to fill the knowledge gap in Islamic financial literacy experienced by microfinance customers by identifying their experiences in implementing these practices, the challenges they face and the opportunities that exist. Although this research is qualitative descriptive, this research includes field research. Primary and secondary sources of information were used to compile the results of this study. Research Methods This research uses a qualitative method with a descriptive approach, carried out at BPRS Haji Miskin KC Payakumbuh, identifying both internally and externally so that it can analyze what is currently an obstacle to customer understanding in Islamic financial literacy in murabahah financing products and describe the developments that can be done to improve customer Islamic financial literacy in murabahah financing products.The results of the research The understanding of financing customers is based on the findings of this micro-research that increases in following Islamic financial literacy, increasing customer insights, so customers can distinguish Islamic finance from conventional finance. The obstacles and risks faced by microfinance customers of BPRS Haji Miskin KC Payakumbuh in Islamic financial literacy are that most of the microfinance customers cannot participate in the Islamic finance education program because the distance to the customer's home and the location of the Islamic finance education is very far because the program is carried out at the head office.

Curriculum administration is all business processes that have been planned and attempted deliberately and earnestly as well as continuous guidance on teaching and learning activities effectively and efficiently in order to achieve the educational goals that have been set. The importance of curriculum administration in educational institutions, which includes the selection of materials, teaching methods, and assessments that are in accordance with educational goals and student needs. Curriculum administration plays a role in ensuring that the curriculum is well structured and organized through various levels of planning, implementation, and supervision. Curriculum evaluation is also an important part of education management, aiming to collect information about the effectiveness of curriculum implementation and the impact of learning outcomes. In addition, this journal highlights the role of teachers in curriculum administration as implementers, adapters, developers, and researchers. The presence of artificial intelligence (AI) technology presents an opportunity for educators to carry out a learning process that focuses on the needs, interests, and learning styles of students, because the independent curriculum requires educators to carry out differentiated learning as an initiative in facilitating students, especially in Pancasila education, which incidentally is still carried out by conventional models or methods.

This research investigates students’ perceptions of Artificial Intelligence (AI) as a tool for learning English at MTsN 4 North Aceh. Quantitative descriptive method was employed in this study that involving 40 students as participants. Data were collected through Likert-scale questionnaires and semi-structured interviews to assess students’ attitudes towards AI in relation to motivation, and skill development (listening, speaking, reading, and writing). The results indicate that most students perceive AI positively, appreciating its ability to enhance their understanding of English materials, increase motivation, and provide real-time feedback. Many students highlighted that AI tools offered interactive and flexible learning opportunities. Overall, artificial intelligence (AI) is not seen as a replacement for conventional teaching, even though it is a useful tool for learning English. The best strategy could be to combine AI with human instruction, maintaining a balance between the flexibility and immediate feedback that AI offers and the individualized help that teachers can provide.

The research that has been conducted is entitled "The Effect of the Outdoor Learning Method on the Ability to Write Descriptive Writing of Class IV Students at MIS YPI Batang Kuis" and is based on the phenomenon that the ability to write is still very limited, especially writing descriptive essays. In this case, it can result in student creativity not being able to develop optimally and find it difficult to find new ideas or ideas in the learning process. The research methodology used quantitative research quasi experiment design. The population in this study were all grade IV students of MIS YPI Batang Kuis consisting of IV A and IV B totalling 47 students. The sampling technique was carried out by Non Probability Sampling, through the form of total sampling (Boring Sampling). That is, choosing a sample with all the population being sampled and the population can only be two classes. This research instrument is in the form of a description essay writing test and documentation. Data processing tools use data requirement tests and t tests. The results of the study revealed that (1) the average pre-test of the experimental class was 65.09 while the average pretest of the control class was 64.21, (2) the average posttest of the experimental class after being given treatment in the form of learning using outdoor learning methods was obtained at 83.12 while the average posttest of the control class was given treatment in the form of conventional learning obtained an average of 72.54 Thus it can be concluded that the average posttest of the experimental class is higher than the average posttest of the control class. (3) The results of the t test calculation obtained tcount greater than ttable (2.915> 2.074), so it can be concluded that Ha is accepted and Ho is rejected. Based on the research findings above, it follows that the use of outdoor learning methods in the learning process has an effect on the ability to write descriptive essays in class IV YPI Batang Kuis School Year 2023/2024.

The development of science and technology that is not balanced with facilities, infrastructure and teacher skills in teaching in schools has caused a decline in mathematics learning achievement of grade II students from year to year. Although this problem has been improved, it has not been resolved. So another solution was made by using the ADDIE model assisted by miniature flat shape media. The problem is, is there a difference in learning achievement using the ADDIE model assisted by miniature flat shape media with learning achievement using the conventional model? The research design was a pretest-posttest control group design. The instruments used were achievement tests and student learning activity observation sheets. The data analysis technique in this study used an initial analysis using a normality test and a test of equality of two means and a final analysis using a normality test and a t-test. The result was that the initial analysis of the two samples was normal and the average was the same. While the final analysis of the two normal samples and the t-test stated that t count = 4.036> t table = 2.025 so that there was a difference in the average mathematics learning achievement of those who received instruction using the ADDIE model assisted by miniature flat shape media with those who used the conventional model.

Scabies is an infectious skin disease caused by Sarcopes Scabei. Scabies. This service aims to increase the knowledge and awareness of students at Al-Mu'aawanah Islamic Boarding School regarding the prevention of scabies through the empowerment of the Al-Mu'aawanah Santri Organization (OSAMU) and the Pesantren Health Post (Poskestren) with a cognitive approach using video media. Methods: the service used was health counseling which was attended by 65 respondents. The results showed a significant increase in santri knowledge related to the prevention of scabies, from 38.5% before intervention to 92.3% after counseling. Counseling using video media proved to be more interesting and effective in increasing knowledge than conventional methods.